The extension of social security coverage in developing countries

We study the dynamic general equilibrium effects of introducing a social pension program to elderly informal sector workers in developing countries who lack formal risk sharing mechanisms against income and longevity risks. To this end, we formulate a stochastic dynamic general equilibrium model that incorporates defining features of developing countries: a large informal sector, private transfers as an informal safety net, and a non-universal social security system. We find that the extension of retirement benefits to informal sector workers results in efficiency losses due to adverse effects on capital accumulation and the allocation of resources across formal and informal sectors. Despite these losses recipients of social pensions experience welfare gains as the positive insurance effects attributed to the extension of a social insurance system dominate. The welfare gains crucially depend on the skill distribution, private intra-family transfers and the specific tax used to finance the expansion.     

Globally networked: Intraorganizational boundary spanning in the global organization

Multinational corporations (MNCs) need to sense, source, and mobilize knowledge when and where it arises, whether at home, or elsewhere in the world. For this reason, MNCs benefit from employee networks of relationships that span across intraorganizational barriers, allowing for the efficient mobilization of knowledge across boundaries. Yet, which organizational members are more likely to be able to develop these boundary spanning networks? We leverage a unique data set from a large multinational corporation to empirically test a comprehensive model that captures the effect of an employee’s mandate, expertise, and behavioral orientations on her likelihood to span intraorganizational boundaries that manifest themselves in the form of hierarchies, intra-functional domains, and geographic territories. We find that the employees that are more likely to be boundary spanners are those having mandates with a global impact, high levels of expertise, and a collaborative orientation in their networking behaviors. In addition, we find that these effects are stronger for those employees that have large formal workflow networks.     

Subnational home market bias in Vietnam: Evidence from enterprise‐level data

This paper contributes to the home (market) bias literature where administrative or political borders limit trade across borders. Home bias is well documented at the national and subnational level. To sort out macro (e.g., location characteristics) and micro (e.g., enterprise characteristics) factors behind home bias, we use small and medium‐sized enterprise (SME) data from Vietnam. Using the fractional multinomial logit model, we find that the proportion of SME sales outside of their home markets is positively associated with enterprise size, age, number of business association memberships and the distance of SMEs' most important supplier. In contrast, the proportion of SME sales to neighbouring provinces is negatively associated with the share of SME production for final consumption. Besides enterprise‐level frictions, market characteristics matter too. The proportion of SME sales to customers in their home markets is negatively associated with home or neighbouring provinces' governance quality, while the proportion of sales to customers in neighbouring provinces is positively associated with these areas' governance quality. These suggest that good governance frees SME resources for use in selling to less familiar markets.     

Research collaboration model in academic social networks

ABSTRACT

This paper proposes a hybrid collaboration recommendation method that accounts for research similarities and the previous research cooperation network. Research cooperation is measured by combining the collaboration time and the number of co-authors who already collaborated with at least one scientist. Research similarity is based on authors’ previous publications and academic events they attended. A weighted directed graph is built to discover new collaborators by using direct and indirect connections between scientists. Moreover, a consensus-based system is built to integrate bibliography data from different sources. The experimental results show that our method improves the recommendation performances over other methods.     

Towards the Development of a Tax System Complexity Index

Reducing tax system complexity is a common goal amongst policymakers; yet there is no commonly agreed definition of complexity. This paper seeks to fill this gap, by proposing the construction of an index of tax system complexity, conceived as a summary indicator of the overall complexity of a tax system at a particular point in time. If adopted, such an index would not only enable assessment of the changing level of a country's tax system complexity over time, but may also facilitate comparisons of the relative complexity of different countries' tax systems in future.     

Negotiating with Terrorists: The Costs of Compliance

It is often argued that negotiating with terrorists will encourage terrorist attacks. To date, corroborating empirical evidence is scarce. Using ITERATE data, we investigate the impact of conceding to terrorist demands on terror activity. We restrict attention to hostage events with clear‐cut demands from terrorists. Our sample period runs from 1978 to 2005 and comprises 1435 events in 125 countries. Estimating a flexible and dynamic Structured Additive Regression model, we find that the percentage of successfully negotiated events has a nonlinear effect on future terror intensity consistent with our simple theoretical model. More specifically, although moderate rates of negotiation increase the number of future terror events, higher negotiation rates tend to have the opposite effect. The estimated threshold is around 20%.     

Managing venture team relationships in corporate incubators: a case study of network dynamics and political rivalry in a high-tech incubator

This article addresses venture team relationships in an advanced high tech incubator through an analysis of the personal relationships of venture team members. During the study period of almost 2 years, the ventures were projected to grow and commercialise but, overall, they failed. Quantitative data collected in two rounds showed that commercial relationships remained weak while political relationships intensified. Qualitative follow-up interviews suggest that the political rivalry and low level of knowledge sharing between the ventures were further exacerbated by the individualistic-competitive structure of the incubator and weak management in some respects.     

Herding behaviour in the Australian loan market and its impact on bank loan quality

We examine the effect of herding behaviour on the credit quality of bank loans in Australia. We find that bank herding varies with different types of loans. It tends to be more prevalent in owner‐occupied housing loans and credit cards than other types of loans. During the global financial crisis period, herding in owner‐occupied housing loans was most pronounced due to the flight‐to‐quality phenomenon in the housing sector. Furthermore, we find that the big four banks tend to herd more than smaller and regional banks. Bank herding behaviour is countercyclical, as it is negatively related to real GDP growth and the cost of funding but is positively related to market risk. Regulatory capital requirements may also encourage herding as banks are required to hold less risk‐weighted capital for residential loans. Most importantly, bank herding is related to higher impaired assets and therefore lower loan quality. Our findings may have implications for policymakers and bank regulators.     

Learning Styles,Motivation, and Career Choice: Insights for International Business Students From Linguistic Inquiry

Purpose: The purpose of this study is to develop a model of motives and career choice based on learning styles in order to apply the model in teaching business. Although the relationship between learning and McClelland’s (1961) three motives (achievement, affiliation, and power) as confirmed that motives are “learned,” little research has examined if learning styles are the key factor to classify motivation into three different implicit motives and whether those motives affect students’ career choice.

Design: The article first examines the Kolb’s (Kolb, 1984, 1999; Kolb & Kolb, 2005) learning styles including active experimentation (AE), reflective observation (RO), abstract conceptualization (AC), and concrete experience (CE). It then measures the learning styles and Holland’s (1985) six career types including realistic, investigative, artistic, conventional, enterprising, and social by the three McClelland (1985) motives including achievement, power, and affiliation using Linguistic Inquiry and Word Count (LIWC) 2015 software (Pennebaker, Booth, Boyd, & Francis, 2015). Finally, the article compared the factors of learning styles and career types against each other based on the three motives in order to discuss the teaching strategies for students in their career choice.

Methodology: The study has used LIWC 2015 (Pennebaker et al., 2015) software to find the scores of achievement, power, and affiliation motives in the four Kolb’s learning styles (Kolb, 1984, 1999; Kolb & Kolb, 2005), and the six career interests (Holland, 1985). Correlation analysis was conducted among the motive values to find the relations among the learning styles, motives, and career choice.

Findings: (a) The two learning styles of AC and AE stimulate the need for achievement; (b) the learning style of RO stimulates the need for power; (c) the learning style of CE stimulates the need for affiliation; (d) people with a high achievement motive would be fit in artistic, investigative, and realistic careers; (e) people with a high power motive would be fit in conventional and enterprising careers; (f) people with a high affiliation motive would be fit in a social career.

Originality of the research: Efficient teaching techniques applied based on the study findings indicate that (a) teaching high achievement students will use more challenge techniques such as assignments and projects for thinking and doing training, (b) teaching high power students will use more control techniques such as discussions and presentations for observation training, and (c) teaching high affiliation students will use more socially oriented techniques such as writing tasks for emotion training.     

Gender differences in formal credit approaches: rural households in Vietnam

In Vietnam, women have poorer access to formal credit than men. This article determines the extent to which borrowing constraints restrict women’s access to formal credit and identifies the socioeconomic characteristics that determine formal credit discrimination. The study used secondary data from the Vietnam Access to Resources Household Survey (VARHS) published in 2013–14, and analysis was undertaken by econometric approaches such as logistic and multiple linear regression models and propensity score matching methods. The results show that among those participants who successfully obtained credit, approximately 85 per cent of women obtained less credit than men; and the amount of credit that women obtained was also less (on average, approximately 1.8 per cent less). Gender, number of years of schooling, marital status, participation in agricultural activities, off‐farm employment, and ownership of agricultural land for a male‐headed household positively influenced discrimination in obtaining credit and the amount of credit obtained. Moreover, the propensity score matching results found that the average increase in the credit obtained by males was 220,000 Vietnamese Dong (VND) and this is mainly due to discrimination in favour of men. The results suggest that policy action is needed to avoid discrimination in credit disbursement on the basis of gender.